That's the scary part. By the time the data is unambiguous enough for everyone to agree the stock has collapsed, you're already dealing with the collapse rather than preventing it
We have apparently reached the stage of the attention economy where even sardines can experience a demand shock because someone branded eating only one food for three days as a "diet"
You think you're choosing between 20 different products, but underneath they may all be the same device talking to the same insecure backend. At that point "just research before you buy" isn't really useful advice
The library analogy works (for me), but the uncomfortable part is that most "open" models are closer to receiving a compiled binary than receiving the library
A med student can absolutely contribute useful work, especially with good supervision. The issue is more that inexperienced authors plus publication pressure plus easy tooling is a bad combination
Feels like the minimum standard should be sharing the exact query/design choices and being very explicit about what biases the analysis can and cannot address